Hypothesis testing and earthquake prediction.
نویسندگان
چکیده
منابع مشابه
Earthquake Prediction: The Null Hypothesis
The null hypothesis in assessing earthquake predictions is often, loosely speaking, that the successful predictions are chance coincidences. To make this more precise requires specifying a chance model for the predictions and/or the seismicity. The null hypothesis tends to be rejected not only when the predictions have merit, but also when the chance model is inappropriate. In one standard appr...
متن کاملHYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION
Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملLINEAR HYPOTHESIS TESTING USING DLR METRIC
Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables X, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using DLR metric, a method for testing ...
متن کاملSystematic Global Testing of Intermediate-Term Earthquake Prediction Algorithms
The systematic testing of intermediate-term earthquake prediction algorithms is faced with the difficulties of (1) the limited time spanned by instrumental catalogs of seismicity in most areas of the world, and (2) the relative arbitrariness of the selection of the region and time interval over which to apply the algorithm. We offer a systematic method which uses worldwide seismicity to compute...
متن کاملHypothesis testing approaches to the exon prediction problem
MOTIVATION Many gene identification methods assign scores to gene elements prior to their assembly into predicted genes. The scoring system is often based on log-likelihood ratios. These methods usually perform well but it is difficult to interpret how significant a score is. RESULTS We have developed several tests of significance for the scores: (1) a sum-of-scores test (SST), (2) an interse...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 1996
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.93.9.3772